{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "from IPython.display import HTML, display\n",
    "\n",
    "import statsmodels.api as sm\n",
    "from statsmodels.formula.api import ols\n",
    "from statsmodels.sandbox.regression.predstd import wls_prediction_std\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "sns.set_style(\"darkgrid\")\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# You can use the LearnDataSci GitHub repo, or download the data locally\n",
    "root = 'https://raw.githubusercontent.com/LearnDataSci/article-resources/master/Housing%20Price%20Index%20Regression'\n",
    "\n",
    "housing_price_index = pd.read_csv(root + '/monthly-hpi.csv')\n",
    "unemployment = pd.read_csv(root + '/unemployment-macro.csv')\n",
    "federal_funds_rate = pd.read_csv(root + '/fed_funds.csv')\n",
    "shiller = pd.read_csv(root + '/shiller.csv')\n",
    "gross_domestic_product = pd.read_csv(root + '/gdp.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# merge dataframes into single dataframe by date\n",
    "df = (shiller.merge(housing_price_index, on='date')\n",
    "                    .merge(unemployment, on='date')\n",
    "                    .merge(federal_funds_rate, on='date')\n",
    "                    .merge(gross_domestic_product, on='date'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>sp500</th>\n",
       "      <th>consumer_price_index</th>\n",
       "      <th>long_interest_rate</th>\n",
       "      <th>housing_price_index</th>\n",
       "      <th>total_unemployed</th>\n",
       "      <th>more_than_15_weeks</th>\n",
       "      <th>not_in_labor_searched_for_work</th>\n",
       "      <th>multi_jobs</th>\n",
       "      <th>leavers</th>\n",
       "      <th>losers</th>\n",
       "      <th>federal_funds_rate</th>\n",
       "      <th>total_expenditures</th>\n",
       "      <th>labor_force_pr</th>\n",
       "      <th>producer_price_index</th>\n",
       "      <th>gross_domestic_product</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2011-01-01</td>\n",
       "      <td>1282.62</td>\n",
       "      <td>220.22</td>\n",
       "      <td>3.39</td>\n",
       "      <td>181.35</td>\n",
       "      <td>16.2</td>\n",
       "      <td>8393</td>\n",
       "      <td>2800</td>\n",
       "      <td>6816</td>\n",
       "      <td>6.5</td>\n",
       "      <td>60.1</td>\n",
       "      <td>0.17</td>\n",
       "      <td>5766.7</td>\n",
       "      <td>64.2</td>\n",
       "      <td>192.7</td>\n",
       "      <td>14881.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2011-04-01</td>\n",
       "      <td>1331.51</td>\n",
       "      <td>224.91</td>\n",
       "      <td>3.46</td>\n",
       "      <td>180.80</td>\n",
       "      <td>16.1</td>\n",
       "      <td>8016</td>\n",
       "      <td>2466</td>\n",
       "      <td>6823</td>\n",
       "      <td>6.8</td>\n",
       "      <td>59.4</td>\n",
       "      <td>0.10</td>\n",
       "      <td>5870.8</td>\n",
       "      <td>64.2</td>\n",
       "      <td>203.1</td>\n",
       "      <td>14989.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2011-07-01</td>\n",
       "      <td>1325.19</td>\n",
       "      <td>225.92</td>\n",
       "      <td>3.00</td>\n",
       "      <td>184.25</td>\n",
       "      <td>15.9</td>\n",
       "      <td>8177</td>\n",
       "      <td>2785</td>\n",
       "      <td>6850</td>\n",
       "      <td>6.8</td>\n",
       "      <td>59.2</td>\n",
       "      <td>0.07</td>\n",
       "      <td>5802.6</td>\n",
       "      <td>64.0</td>\n",
       "      <td>204.6</td>\n",
       "      <td>15021.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2011-10-01</td>\n",
       "      <td>1207.22</td>\n",
       "      <td>226.42</td>\n",
       "      <td>2.15</td>\n",
       "      <td>181.51</td>\n",
       "      <td>15.8</td>\n",
       "      <td>7802</td>\n",
       "      <td>2555</td>\n",
       "      <td>6917</td>\n",
       "      <td>8.0</td>\n",
       "      <td>57.9</td>\n",
       "      <td>0.07</td>\n",
       "      <td>5812.9</td>\n",
       "      <td>64.1</td>\n",
       "      <td>201.1</td>\n",
       "      <td>15190.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012-01-01</td>\n",
       "      <td>1300.58</td>\n",
       "      <td>226.66</td>\n",
       "      <td>1.97</td>\n",
       "      <td>179.13</td>\n",
       "      <td>15.2</td>\n",
       "      <td>7433</td>\n",
       "      <td>2809</td>\n",
       "      <td>7022</td>\n",
       "      <td>7.4</td>\n",
       "      <td>57.1</td>\n",
       "      <td>0.08</td>\n",
       "      <td>5765.7</td>\n",
       "      <td>63.7</td>\n",
       "      <td>200.7</td>\n",
       "      <td>15291.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date    sp500  consumer_price_index  long_interest_rate  \\\n",
       "0  2011-01-01  1282.62                220.22                3.39   \n",
       "1  2011-04-01  1331.51                224.91                3.46   \n",
       "2  2011-07-01  1325.19                225.92                3.00   \n",
       "3  2011-10-01  1207.22                226.42                2.15   \n",
       "4  2012-01-01  1300.58                226.66                1.97   \n",
       "\n",
       "   housing_price_index  total_unemployed  more_than_15_weeks  \\\n",
       "0               181.35              16.2                8393   \n",
       "1               180.80              16.1                8016   \n",
       "2               184.25              15.9                8177   \n",
       "3               181.51              15.8                7802   \n",
       "4               179.13              15.2                7433   \n",
       "\n",
       "   not_in_labor_searched_for_work  multi_jobs  leavers  losers  \\\n",
       "0                            2800        6816      6.5    60.1   \n",
       "1                            2466        6823      6.8    59.4   \n",
       "2                            2785        6850      6.8    59.2   \n",
       "3                            2555        6917      8.0    57.9   \n",
       "4                            2809        7022      7.4    57.1   \n",
       "\n",
       "   federal_funds_rate  total_expenditures  labor_force_pr  \\\n",
       "0                0.17              5766.7            64.2   \n",
       "1                0.10              5870.8            64.2   \n",
       "2                0.07              5802.6            64.0   \n",
       "3                0.07              5812.9            64.1   \n",
       "4                0.08              5765.7            63.7   \n",
       "\n",
       "   producer_price_index  gross_domestic_product  \n",
       "0                 192.7                 14881.3  \n",
       "1                 203.1                 14989.6  \n",
       "2                 204.6                 15021.1  \n",
       "3                 201.1                 15190.3  \n",
       "4                 200.7                 15291.0  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>    <td>housing_price_index</td> <th>  R-squared:         </th> <td>   0.952</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                    <td>OLS</td>         <th style=\"background-color:#aec7e8;\"> Adj. R-squared: </th> <td>   0.949</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>              <td>Least Squares</td>    <th>  F-statistic:       </th> <td>   413.2</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>              <td>Fri, 13 Apr 2018</td>   <th>  Prob (F-statistic):</th> <td>2.71e-15</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                  <td>16:28:11</td>       <th>  Log-Likelihood:    </th> <td> -65.450</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>       <td>    23</td>        <th>  AIC:               </th> <td>   134.9</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>           <td>    21</td>        <th>  BIC:               </th> <td>   137.2</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>               <td>     1</td>        <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>       <td>nonrobust</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "          <td></td>            <th style=\"background-color:#ffbb78;\">coef</th>     <th style=\"background-color:#c7e9c0;\">std err</th>      <th>t</th>      <th style=\"background-color:#bcbddc;\">P>|t|</th>  <th style=\"background-color:#ff9896;\">[0.025</th>    <th style=\"background-color:#ff9896;\">0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>        <td>  313.3128</td> <td>    5.408</td> <td>   57.938</td> <td> 0.000</td> <td>  302.067</td> <td>  324.559</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>total_unemployed</th> <td>   -8.3324</td> <td>    0.410</td> <td>  -20.327</td> <td> 0.000</td> <td>   -9.185</td> <td>   -7.480</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 0.492</td> <th>  Durbin-Watson:     </th> <td>   1.126</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.782</td> <th>  Jarque-Bera (JB):  </th> <td>   0.552</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td> 0.294</td> <th>  Prob(JB):          </th> <td>   0.759</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.521</td> <th>  Cond. No.          </th> <td>    78.9</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fit our model with .fit() and show results\n",
    "# we use statsmodels' formula API to invoke the syntax below,\n",
    "# where we write out the formula using ~\n",
    "housing_model = ols(\"housing_price_index ~ total_unemployed\", data=df).fit()\n",
    "\n",
    "# summarize our model\n",
    "housing_model_summary = housing_model.summary()\n",
    "\n",
    "# convert our table to HTML and add colors to headers for explanatory purposes\n",
    "HTML(\n",
    "(housing_model_summary\n",
    "    .as_html()\n",
    "    .replace('<th>  Adj. R-squared:    </th>', '<th style=\"background-color:#aec7e8;\"> Adj. R-squared: </th>')\n",
    "    .replace('<th>coef</th>', '<th style=\"background-color:#ffbb78;\">coef</th>')\n",
    "    .replace('<th>std err</th>', '<th style=\"background-color:#c7e9c0;\">std err</th>')\n",
    "    .replace('<th>P>|t|</th>', '<th style=\"background-color:#bcbddc;\">P>|t|</th>')\n",
    "    .replace('<th>[0.025</th>    <th>0.975]</th>', '<th style=\"background-color:#ff9896;\">[0.025</th>    <th style=\"background-color:#ff9896;\">0.975]</th>'))\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20836e66240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# This produces our four regression plots for total_unemployed\n",
    "\n",
    "fig = plt.figure(figsize=(15,8))\n",
    "\n",
    "# pass in the model as the first parameter, then specify the \n",
    "# predictor variable we want to analyze\n",
    "fig = sm.graphics.plot_regress_exog(housing_model, \"total_unemployed\", fig=fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x20837828358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# predictor variable (x) and dependent variable (y)\n",
    "x = df[['total_unemployed']]\n",
    "y = df[['housing_price_index']]\n",
    "\n",
    "# Retrieve our confidence interval values\n",
    "# _ is a dummy variable since we don't actually use it for plotting but need it as a placeholder\n",
    "# since wls_prediction_std(housing_model) returns 3 values\n",
    "_, confidence_interval_lower, confidence_interval_upper = wls_prediction_std(housing_model)\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(10,7))\n",
    "\n",
    "# plot the dots\n",
    "# 'o' specifies the shape (circle), we can also use 'd' (diamonds), 's' (squares)\n",
    "ax.plot(x, y, 'o', label=\"data\")\n",
    "\n",
    "# plot the trend line\n",
    "# g-- and r-- specify the color to use\n",
    "ax.plot(x, housing_model.fittedvalues, 'g--.', label=\"OLS\")\n",
    "\n",
    "# plot upper and lower ci values\n",
    "ax.plot(x, confidence_interval_upper, 'r--')\n",
    "ax.plot(x, confidence_interval_lower, 'r--')\n",
    "\n",
    "# plot legend\n",
    "ax.legend(loc='best');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>OLS Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>    <td>housing_price_index</td> <th>  R-squared:         </th> <td>   0.980</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                    <td>OLS</td>         <th>  Adj. R-squared:    </th> <td>   0.974</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>              <td>Least Squares</td>    <th>  F-statistic:       </th> <td>   168.5</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>              <td>Fri, 13 Apr 2018</td>   <th>  Prob (F-statistic):</th> <td>7.32e-14</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                  <td>16:31:58</td>       <th>  Log-Likelihood:    </th> <td> -55.164</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>No. Observations:</th>       <td>    23</td>        <th>  AIC:               </th> <td>   122.3</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Residuals:</th>           <td>    17</td>        <th>  BIC:               </th> <td>   129.1</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Df Model:</th>               <td>     5</td>        <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>       <td>nonrobust</td>      <th>                     </th>     <td> </td>   \n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "             <td></td>               <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>              <td> -389.2234</td> <td>  187.252</td> <td>   -2.079</td> <td> 0.053</td> <td> -784.291</td> <td>    5.844</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>total_unemployed</th>       <td>   -0.1727</td> <td>    2.399</td> <td>   -0.072</td> <td> 0.943</td> <td>   -5.234</td> <td>    4.889</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>long_interest_rate</th>     <td>    5.4326</td> <td>    1.524</td> <td>    3.564</td> <td> 0.002</td> <td>    2.216</td> <td>    8.649</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>federal_funds_rate</th>     <td>   32.3750</td> <td>    9.231</td> <td>    3.507</td> <td> 0.003</td> <td>   12.898</td> <td>   51.852</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>consumer_price_index</th>   <td>    0.7785</td> <td>    0.360</td> <td>    2.164</td> <td> 0.045</td> <td>    0.020</td> <td>    1.537</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>gross_domestic_product</th> <td>    0.0252</td> <td>    0.010</td> <td>    2.472</td> <td> 0.024</td> <td>    0.004</td> <td>    0.047</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "  <th>Omnibus:</th>       <td> 1.363</td> <th>  Durbin-Watson:     </th> <td>   1.899</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Prob(Omnibus):</th> <td> 0.506</td> <th>  Jarque-Bera (JB):  </th> <td>   1.043</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Skew:</th>          <td>-0.271</td> <th>  Prob(JB):          </th> <td>   0.594</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Kurtosis:</th>      <td> 2.109</td> <th>  Cond. No.          </th> <td>4.58e+06</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# again, invoke statsmodel's formula API using the below syntax\n",
    "housing_model = ols(\"\"\"housing_price_index ~ total_unemployed \n",
    "                                            + long_interest_rate \n",
    "                                            + federal_funds_rate\n",
    "                                            + consumer_price_index \n",
    "                                            + gross_domestic_product\"\"\", data=df).fit()\n",
    "# summarize our model\n",
    "housing_model_summary = housing_model.summary()\n",
    "HTML(housing_model_summary.as_html())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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U5eaWFSZbtGgpu72fEhN/K7u9n3r16n3J3hh13S5Pzp1U9c7YAAAAQH1y+vQppaYmXygoJys1NUV5eecklX1vsNnilZh4/4VNvPsoKCioytfifkcAgOlWp2VqwfoMZeYUKiLMqnEDIzU0JsLssACPZxiGDh7cr6SksmJySspGpaenyTAM+fn5KSamh+66a4RjuYsOHSLZjA8AAADwMaWlpdq9O13JyRsdM5T37dsrSfL391ePHldr1Ki7ZbPFy27vp/btO9Tqe4MpBealS5eacVkAgAdanZap2Wv3qqC47Jb54zmFmr227IOOIjNQUX5+vrZu3aykpI1KSSlbP/nUqVOSpLCwRrLZ7Lr11ttlt/dTbGycwsIamRwxAAAAAHc7cyZbqanJFyahJGnTplTl5JyVJDVt2lR2ez+NHFlWUO7TJ1YhISFXdD1mMAMATLVgfYajuFyuoLhUC9ZnUGCGz/vhh2M/24xvq4qLiyVJUVGd9Mtf3uiYndytW7T8/PxMjhgAAACAO5WWlmrfvr0VZifv3p0uSY67GocPT5DNZpfdHq+OHTu5/K5GCswAAFNl5hTW6jhQXxUVFWnXrh0XFZSTdOTIYUlSw4YN1adPrB555H9kt/eTzRav5s2bmxwxAACAc1giD3BeTs5ZbdqU6tiILzU1RWfOZEuSwsPDZbPF64477pLNFq/Y2DiFhtb9HiMUmAEApooIs+p4JcXkiDCrCdEA7pOVdfrCoLBsYLh5c6ry8so2v2vVqrXi4/vr4YfHyW7vp549eykwMNDkiAEAAK4cS+QBNWcYhg4c2HdhqYuyjbzT03fJMAxZLBZ16xat2267XTZbvGy2eHXq1NmUuxopMAMATDVuYGSFAaYkNQzw07iBkeYFBbjYxbetlf+3d+8eSWWbavTs2Ut3353oWO6ibdt2bMYHAADqJZbIA6qWm5urLVs2XTQ7OVmnT5+WVLbnSlycTTfffKvs9n6Ki7OpUaPGJkdchgIzAMBU5YNIbpFDfXLu3Dlt3pzqKCanpCQpO7vstrUmTZrIZotXQsIo2e39XLKpBgAAgLdgiTygjGEYysg46Fg3OTk5Sbt27VBpadkfYLp06aobb7zJsURe167dPHbPFQrMAADTDY2JoKAMr2UYho4cOVxh7eSdO7erpKREktS1azfdfPNtjtnJZt22BgAA4AlYIg++Ki8vT1u3br6w3EXZfz/+eFKSFBISqthYmyZM+L3s9n6KjbWpSZOmJkdccxSYAQAAauH8+fNKStquL7/8yrF+8vHjP0iSgoODFRtr02OPTbxw25rdqwaGAAAAdY0l8uALDMPQ4cPfa82arfr66/VKSUnSjh3bVVxcLEmKiuqkwYN/KZstXnZ7P0VHx8jf39/kqJ1HgRkAAOBnLt7ZvKklTwPDTqnkh91KTt6orVs3q6CgQJJ01VXt9f/+3zWO2cndu/dUQADDKwAAgKqwRB7qo4KCAm3dusUxMzklJUmZmccllU1C6ds3To8++rhstnjFxdnVvHlzkyN2Lb4BAQAAXFBSUqJ/rP5Wr65ao9zDu1R4NE0ZWT9okyT/gAbq07u37r33d7ruukHq3r23WrduY3bIAAAAXocl8uDtjh076tiILyUlSdu2bVVRUZEkqUOHSP3iF4Nks8Vr8OBBuuqqzvV+Ekr9bh0AAMBl5OScVWpqimP95NTUFOXknJUk+QU3lrVtjEJ73yhr2xi179xDnzw6SJIUHh6s7Ow8M0MHAMCrXHx3EDNWAXiT8+fPa/v2rY6N+FJSknTs2FFJUsOGDdW7d189/PCjstniZbPFq2XLlo7n+sr3BgrMAADAJ5Tv0ly+EV9y8kalpe2UYRiyWCyKju6uO+64S5+eaqzAtjEKCG8ti8XieP7JAhODBwDAi61Oy6yw5u7xnELNXrtXkigyA/A4mZnHHd8XymYnb1FhYdnGlO3aXaX4+LLl8Wy2ePXocbUCAwNNjth8ly0wnzt3Th988IGSk5OVlZWlZs2aacCAAbrlllsUEhLirhgBAABqrXwdtPLZycnJGx27NIeGhslms+umm265sBmfTY0aNZYk7V60kZ3NUSOMlQGgZhasz6iwoZskFRSXasH6DArMAOpETe+aKCoq0s6d2x3rJicnJ+nw4e8lSYGBgerVq4/uv//BC3uuxKtVq9bubopXqLLA/P777+uzzz7Ttddeq8TERLVo0UJnz57V1q1b9fjjj+vGG29UQkKCO2MFAACoUmbmcSUl/VRM3rZti2MdtI4dozR48C8dm/F16xZd5S7N7GyOmmCsDAA1l1nJH24vdxwArsTl7pqwNfersBHfli2blJ+fL0lq3bqNbLZ4PfjgWNls8br66t6yWplkUhNVFphbtmypv/3tb5cc79WrlxITE/XVV1/VaWAAAABVKS4uVlraTkdBOSUlSd9/f0iSZLVa1adPrB5++FHHrWstWrSo8WuzszlqgrEyANRcRJiVu4MAuE35XRNGaYmKTmao8Gi6fjyWrocW7lbh6WOSpAYNGujqq3spMfE+x3eGtm3bmRy596qywBwRUfmXqA8//FDDhg3TtddeW2dBAQAAXCw7O0upqcmO9ZNTU1OUl3dOkhQR0Urx8f31wAMPy27vp549e13xTAN2Nkd1GCsDQM1xdxAAdzh9+pRSUpKU/sk/VXA0Xed/2COjqGwjFf+QJrK2jdbT4x+RzRav3r37KCgoyOSI648qC8xPPfWUEhMTdccdd0iS8vPzNXPmTB06dEjDhg1zW4AAAMC3GIah/fv3VVg7effudEmSn5+fevbspdGj73Esd9Gu3VUVNuMD3IGxMgDUHHcHAXC1kpIS7d6d7ribMSUlSfv37yt70M9PgS2jFHr1L2VtG63ANtEKaByh1o0aavxD/cwNvJ6qssC8dOlSTZs2TcnJyRoxYoSmTZumG264QbNnz3ZnfAAAoJ7Ly8vTli2bKhSUs7KyJEmNG4fLbo/X8OEJstv7qU+fWIWGhpocMcBYGQBqi7uDAFyJ7OwsbdqUoqSkjUpJSdamTSnKzc2RJDVr1kx2ez+NHv0b2WzxOtGwreatP8pdE25UZYE5JCREr7zyih588EGNHj1azz77rEaMGOHO2AAAQD109OiRCsXkHTu2q7i4WJLUpUtXDR16i2N2cufOXeTn52dyxMClGCsDAADUjdLSUu3du0cpKUmOGcp79uyWVHZHY0xMD9111wjZbPGy2eLVsWPUJXc0WoOCuWvCjaosMGdlZWnKlClq2LChFi9erOeff16GYWjkyJHujA8AAHixoqIi7dixzbF2cnLyRh07dlSSFBQUpNhYm8aPnyC7PV5xcXY1bdrM5IiBmqmrsfKpU6c0fPhwLV68WJ06dXJRtAAAAJ4rJ+esUlNTHAXlTZtSdeZMtiSpSZMmiouz6847ywrKffvGKjQ0rNrX5K4J96qywJyQkKDf/e53Gj16tCTpnXfe0dSpU/Xtt99q/vz5bgsQAAB4j1OnTjkGhsnJG7Vlyybl5+dLktq1u0r9+vV3zE7u3r2nGjRoYHLEgHPqYqxcVFSkp59+Wg0bNnRlqAAAAB6jfL+Vsu8MSUpJ2aj09DQZhiGLxaLo6BjddtsdstvLZid36tSZ/Va8QJUF5oULF6pLly6O/2/UqJFee+01vfnmm24JDADgHVanZXLrkY8qLS3Vnj27Kyx3Ub6xRkBAgHr16q0xY+6X3d5PNlu82rRpa3LE8HTe9PukLsbKc+bM0ahRo7Ro0SJXhAgA9YY3fT4AqCg3N1ebN6c6NuJLSUly7LfSqFFjxcXZdMstw2S391NsbJwaNWpscsRwRpUF5osHzBe7//776yw7fv6RAAAgAElEQVQYAIB3WZ2Wqdlr9zo2TzieU6jZa/dKEoP+eig3N0ebNqU6iskpKck6e/aMpIs31khUfHw/9e7dV0FBQSZHDG/ibb9PXD1W/uCDD9S0aVMNHDiwygJzaKhVAQH+Tr1+febv76fw8GCzw0At0W/ey91996+txzR73V4VFF30+bBur0KCrbqtdxu3xVEf8HPnvbyl78pmJ+/Xd999p40bv9N3332n7du3qbS07Oc3OjpGw4bdrv79+6t//wGKjo6u9/uteEvfXakqC8wAAFRnwfqMCjvzSlJBcakWrM/wyIIQas4wDH3//aGLZicnadeuHSotLXXcujZs2HDZ7fGKj++njh07cesaroiv/z755z//KYvFog0bNigtLU2TJ0/WwoUL1aJFC8c5ubmFJkboucLDg5WdnWd2GKgl+s17ubvv5n6221FcLldQVKq5n+3WoA7hboujPuDnznt5at/l5eVpy5ZNFWYn//jjj5Kk0NAwxcbaNGHCHxz7rYSHN6nw/LNnC8wI2608te+c1aJF5etfU2AGADgtM6fyYkdVx+G5CgsLtW3bFsdGfMnJG3XiRKYkKSQkVHFxdk2c+ITs9n6Ki7OpcWO+0MG1fP33yfLlyx3/TkxM1MyZMysUlwHAV/n65wPgKQzD0OHD31+4kzFJKSnJ2rlzu4qLiyVJnTp11pAhN8hmi5fd3k/dukXL3587r3xFlQXm1157rdonjx8/3qXBAAC8S0SYVccrGdxHhFlNiAa1cfz4cX3xxVeOYvLWrZt1/vx5SVKHDpEaNOg6x2Z8MTHdGRyiznnb7xPGygDgHt72+QDUFwUFBdq6dctFBeUkxwSU4OBgxcbaNH78BNlsdsXFxatZs2YmRwwzVVlgjo+Pd+mFioqKNHXqVB09elTnz5/XI488oiFDhrj0GgAA9xo3MLLCmqmS1DDAT+MGRpoXFC5RUlKitLRdFTbjO3QoQ5IUGBio3r376oEHxjo244uIqP/LEcDzeNvvE1ePlS+2dOnSOnttAPA23vb5AHiro0ePKCUlyVFQ3r59m4qKiiT9NAGlbHZyvGJieigggEUR8BO3FZj/9a9/KTw8XHPnzlV2drZuv/12CswA4OXK10VlV2/PcuZMtlJTUxxrJ6emJuvcuVxJUosWLRUf31/jxo1Tz5591atXH1mtzACC+bzt90ldFpgBAD/xts8HwBsUFhZq+/atFwrKZbOTf/jhmCQpKChIvXv31dix42Wzla2d3LJlS5Mjhqdz258bfv3rX+vGG2+UVLZuC7faAkD9MDQmggG+iQzD0MGD+5WUtPHC4HCj0tPTZBiG/Pz81L17T40YMcqx3EX79h1ksVjq3WYTqB/4fQIAqAyfD8CVOX78B0chOTl5o7Zv36rCwrKlZ666qr369x/guJuxR4+r1aBBA5MjhrdxW4E5JCREkpSbm6vHHntMEyZMcNelAQCoN/Lz87V162YlJW1USkrZchenTp2SJDVq1Fg2m1233XaH7PZ+io2NU2ho5bv8erPVaZnMYgIAAAAqUVRUpB07tjnWTU5JSdbhw99LkqxWq3r16qPf/vahCxNQ4hUR0crkiFEfVFtgfumllzRp0iT5+fkpJydH06ZN0/z585262A8//KBHH31Ud999t2699dZLHg8Ntcrf30/h4cFOvT5E/q4AuXMeubsy5M95vpC7I0eOaMOGDfruuw3asOG/2rJli2On5i5duurmm2/RgAED1L//AMXExMjPz69Gr+utufvX1mOavW6vCorK1mE8nlOo2ev2KiTYqtt6t3FbHN6aP09Q33LnyrEyAHgz/gAMmOPEiRMXFZOTtGXLJhUUFEiS2rRpK5stXg8+WLbfSs+evVgeD3Wi2gJzYGCg7rvvPo0ZM0bz58/X/fff79SFfvzxR/32t7/V/2fv3qOjqs89/n9yDyGBcA33+yUBciGz90yoxQuWVq2gtgbEK/WCiqKIx9YbtlrF9vTQY//B1q7TLnvqqf5Yv9PW82vt0bbWgxaSmcmFBBIgQLgTIBBICLnO/P6YZEsEDBkmc0ner7VYC3aS2Q/fncB3nv3s53nppZc0b968i35OQ0OzYmNjeGT3CvDIs/9YO/+xdleG9fNfX1u71tZWbdtWdt4wvkIdOnRQkpSYmKi5c21aufIJmaZDNpup4cOHd/n6M2eaLvtckbp2P/nfHVZyuVNTq0c/+d8dunpiatDiiNT1CwfhvnYjRvSs6j9Qe2UAiGQfVNR0GcR3tL5Z6z7cJUkkmYEAamtr0/bt5Va7C5er0BreHRcXp6ysbN133/0yDLsMw66xY8eFNmD0G90mmFetWqXvfe97Wr16tZ5//nnddtttfp3o5z//uc6cOaMNGzZow4YNkqRf/vKXSkxM9Ov1AACIdCdP1lqDNZzOAhUXu3Xu3DlJ0ujRY2S35+nRRx+XaTo0e3am4uPjQxxx6NXUN/foONDbArVXBoBItmFTtZVc7tTU5tGGTdUkmIErUFtbK7e7UFu3Fumzz/6p4mK3Ght9N+pHjkyTaTq0fPmDMk2HsrKyybEhZLpNMN99992aPXu2/va3v+n73/++Kioq9MMf/rDHJ3rxxRf14osv+hUkAACRzuPxaNeunedVJxeoqspX2RMTE6PMzCzdffd91jA+qg0uLi0lQUcvkkxOS+FRP4RGoPbKABDJuAEMXLn29nZVVlbI6SywqpP37NktSYqNjdWcOZm68857rOrk8eMnKCoqKsRRAz7dJpgfeughXXvttZJ8Vci/+c1vejsmAAAiXkNDg4qL3VYy2eVy6vTpOknSkCFDZJoOLV16p0zToezsudYwXHy5lfMndXkEV5ISY6O1cv6k0AWFfo29MgBwAxjwR13dKbndzo73C04VF7vV0FAvSRo+fLgMw6E777xXpmnXNddcpZaWEAcMfIluE8yGYeiNN95QTU2NrrvuOl1zzTXBiAsAgIjh9Xp14MD+Lr2Tt20rk8fjS4LOnJmuRYtusaqTp06dRrWBnzofs2WIEMIFe2UA4AYw0B2Px6OdO3dYlclOZ4F27dopSYqOjtasWXOUn7/Uqk6eNGlyl/cLSUlJamkJ3xkWQLcJ5ueff15XX321CgsLNXz4cL3wwgv67W9/G4zYAAAIS83NzSorK7V6JzudBaqpOSpJSkoaKJvN0OrVT1vD+FJTh4Q44r7lxow0EsoIG+yVAYAbwMAXnTlzWm63y0oou90unTlzWpLvaUbDsCs//w4Zhl05OblKTk4OccTAlek2wVxXV6fbb79d77//vnJzc61qLAAA+otjx45ZlQZOZ4FKS4vV3Ox7DHTChIm66qr5Mk2H7HaHMjJmKza22/9eAfQR7JUBwKfzBvAHFTXasKla3//zDm3YVE2iGX2e1+tVVdUuK5nschWqsrJCXq9XUVFRSk+fpVtu+ZZM0y7TtGvKFJ5mRN9zWe+Ad+/2NRU/evSoYmJiejUgAABC6fzhGp2/qqv3SpLi4uKUlZWj73znoY52F3aNGjU6xBEDCDX2ygDg80FFTZdWGUfrm7XuQ99QY5LM6CsaGupVVOTuklCuq/PNWhk8OFU2m6FFi26VaTqUm2tTSsqgEEcM9L5uE8wvvPCCnn/+ee3evVtPPPGEvv/97wcjLgAAgqLz8bXOZLLb7TpvuMYImaZD9957f8cwvhwlJiaGOGIA4YS9MgB8bsOm6i59mCWpqc2jDZuqSTAjInm9Xu3du8ca2u1yFaqiYluXWSvf/OZiGYZdpunQtGnTFR0dHeKogeDrNsE8c+ZMvffee8GIBQCAXnX+BrGzf3Jl5Xbr8bWMjNn69reXdDy+5rhguAYAfBF7ZQD4XE19c4+OA+Hm7NmzKi0t7kgo+6qTa2trJUkpKYOUm2vTU089I9O0KzfXYNYK0OGSCeYFCxZ0eVMdGxurtrY2xcfH64MPPghKcAAAXIlz586ptLTEqk52uQp04sQJSb4Nos1m6OabF3cM4zN4fA3AZWOvDAAXSktJ0NGLJJPTUhJCEA3w5bxer/bv33deMtmpbdvK1N7eLkmaNm26Fi68QYZhl2HYNXNmOq2wgEu4ZIL5L3/5i7xer15++WXdcccdysrK0vbt2/Vf//VfwYwPAIDLdvToETmdBSos9CWTt24tVWtrqyRp8uQpWrBgYUfvZAcbRABXhL0yAFxo5fxJXXowS1JibLRWzp8UuqCADp3FJ53Du12uQh0/fkySlJQ0UDaboSeeeEqGYZfNZmro0GEhjhiIHJdMMMfHx0uSDhw4oKysLEnSrFmztHfv3uBEBgDAl2hra1NxcZH+/vdPrJYXBw7slyQlJCQoJydXDz/8mEzTIcOwa8SIESGOGEBfwl4ZAC7U2Wd5w6Zq1dQ3Ky0lQSvnT6L/MoLO6/Xq0KGDVpsLp7NA5eVlVvHJpEmTde21C6zq5IyMWYqN7baLLIBL6PanJyUlRW+88YaysrJUXFzMG3QAQEicOnVSbrfTSiYXFbnU2NgoSRo1arRM06GHHnpEpulQZma2lfwBgN7EXhkAuroxI42EMoKuublZW7eWWIP4nM4CHT16RJI0YMAA5eTk6tFHV1nVyfx/DQRWtwnmf/u3f9O7776rf/zjH5o2bZpWrVoVjLgAAP2Y1+tVVdUuq3ey01mgnTt3SJJiYmI0e3amli27W9dcc7Vmz87RuHHjGcYHICTYKwMAEHxHjhzuSCT7KpS3bi1RS0uLJGnChIn6yleusp5knDVrjuLi4kIcMdC3dZtgHjBggAzDUGZmpiSptLRUpmn2emAAgP7j7NmzKikpOm8YX6FOnTolSUpNTZVh2PXtby+RaTqUk5Or5OTkjo8lqa6uMZShA+jn2CsDANC7WlpaVF6+1Wp34XI5dfDgAUm+1njZ2XP14IOPWAnltDQq6IFg6zbBvGrVKp08eVKjR4+W1+tVVFQUm2YAgN86+6F9Xp1cqPLyrda05hkzZuqmmxZZw/imTp2m6OjoEEcNABfHXhkAgMCqqak5L5lcqNLSYjU1NUmSxo4dJ8Ow6+GHV8o0HZozJ4vWeEAY6DbBfOLECb377rvBiAUA0Ad1Vhx0JpOdzgIdOXJYkpSUlKTcXN+0ZtN0yGYzNWTI0BBHDACXj70yAAD+a2tr0/bt5dZ7BZfLqf37qyX5BupmZmbrvvsekGn6hvGNGTM2tAEDuKhuE8yTJ09WTU0NjxgAHT6oqGEqMvAlTpw4YQ3WcDoLVFJSZFUcjB8/QfPmfcWqTp41aw7TmgFEtEDtlVtbW/X888/r0KFDamlp0aOPPqrrr78+QFECABAeTpw4YQ3udrkKVVJS1GVwt2HYdf/9D8kw7MrKylZiYmKIIwZwObp9V+92u3Xddddp6NDPK8o+/fTTXg0KCFcfVNRo3Ye71NTmkSQdrW/Wug93SRJJZvRLHo9HO3ZUdhnGt2fPbklSXFycsrJ8FQd2u68f2ujRY0IcMQAEVqD2yu+//75SU1P1k5/8RHV1dbr11ltJMAMAIlp7e7sqKrZbxScuV6H27t0jSYqNjVVmZpbuuuteGYavOpnB3UDk6jbB/OGHHwYjDiAibNhUbSWXOzW1ebRhUzUJZvQL9fVnVFTktpLJbrdLZ86cliQNHz5chuHQXXfdJ9N0KDs7RwMGDAhxxADQuwK1V77hhhv0jW98Q5KvV31MTExAXhcAgGA5deqk3G5nR0K5UEVFbp092yBJGj58hEzTobvvXi7TtCsrK0dJSUkhjhhAoFwywbxhwwatXLlSa9asueAO0vr163s9MCAc1dQ39+g4EM66a/fi9Xq1b191l2F8FRXb5PF4FBUVpfT0Wbr11m/LNO0yTYcmT55CxQGAfiPQe+WBAwdKkhoaGvTEE09o9erVF3xOcnKCYmNJPH9RTEy0UlNJUkQarlvk4tpFrkBeO4/Ho+3bt6ugYIu2bNmizZs3a+fOHR3niVFmZpbuvfdeORx5ysvL0+TJk3mvcAX4uYtc/eXaXTLBvGDBAknSHXfccdGPHzp0SGPH0ly9r6G/8JdLS0nQ0Yskk9NSEkIQDeC/i7V7efXP27SrvEgxx3ZZSeXjx49JkpKTU2SzGVqz5rsdw/gMDRo0OJR/BQAIqd7YKx85ckSPPfaY7rzzTi1atOiCjzc0cEP7YlJTk1RX1xjqMNBDXLfIxbWLXFdy7U6frpPb7ZLLVSiXq1But0v19WckSUOHDpVh2JWff4cMw66cnFzrxunnX3/uiuPvz/i5i1x97dqNGJFy0eOXTDCnp6dLkux2+0U//txzz+k3v/lNAEJDuKC/cPdWzp/UZY0kKTE2WivnTwpdUIAfNmyqVkPdCbUcqlTzoQrfr5oqvdreJkmaNGmyrr12gTWMLz09g8e1AeA8gd4rnzhxQvfff79eeuklzZs3LyAxAgDgD4/Ho6qqXVYy2eUq1I4dlfJ6vYqOjlZ6+izddtvtHU8y2jV58lSqk4F+rtsezJfi9XoDGQfCAP2Fu9e5DlR5I9K0tbWpomL7572T//qJ2k7X+D4YE6eEUdM1yLZYCWMz9PEPv6ORI0eGNmAAiHA93Sv//Oc/15kzZ7RhwwZt2LBBkvTLX/5SiYmJvREeAACWhob6L1QnO1VXVydJSk1Nlc1m6pZbviXTdCg316bk5ItXMALov/xOMHN3qu+hv/DluTEjrU8mlGmP0rf4HmFzqrCwoGPAhssasDFyZJpSxs2Qcm9WwtgMxadNVVRsnCRpVEoCyWUACICe7pVffPFFvfjii70UDQAAPl6vV3v37lZhYYFcLt9AvsrK7daclZkz03XzzbfIMHxzVqZOnabo6OhQhw0gzPmdYEbfQ3/h/ov2KJHN6/Vqz54qOZ2FVoVyZWWFJCk6OlqzZ2dq6dJlVruL8eMn6C+Vx2j3AgAAAPRxZ8+eVUlJkZzOApWUuFVQsEW1tbWSpJSUQbLZDN10080yDLtsNkODB6eGOGIAkYgWGbDQX7j/oj1KZGlsbFRpabGVTHY6C3Ty5ElJ0uDBqTIMU7fe+m2ZpkNz59qUnJx8wWvQ7gUAehd7ZQBAsHm9Xu3bVy2Xy1d44nI5tX17udrb2yVJM2em6+tfv1GGYZdh2DVzZjrVyQAC4rITzHV1dUpN/fxOVl5eXo9O5PF49IMf/EA7duxQfHy8Xn31VU2cOLFHr4HeRcKp/6I9Sng7fPhQl2RyWdlWtbX5hvFNmzZd3/jGTVZ18vTpMy57k9hX270AQChc6V4ZAICeOnfuXEfhSaGVVD5x4rgkaeDAZOXmGnryyTUd1cmmJk8ep7q6xhBHDaAv6jbBXFhYqFdeeUXt7e264YYbNGbMGOXn5+uxxx7r0Yn++te/qqWlRe+9955KSkr0ox/9SG+++abfgaN3kHDqn2iPEj5aW1u1bVvZeQnlQh06dFCSNGDAAM2da9Njjz0p07TLZrNr2LBhIY4YAPq3QO2VAQD4Ml6vVwcPHrAG8TmdBSovL7MKTyZPnqIFC75mVSdnZMxSTExMiKMG0F90m2D+2c9+pt/+9rdatWqVHnnkES1btkz5+fk9PpHb7db8+fMlSTk5OSovL+95tAB6Be1RQqe2tlafffZ3/eMfm+R0Fqi42K1z585JksaOHSfTtGvlylUyTYdmz85UXFxciCPGFzEgE+jfArVXBgDgfE1NTdq6tbRLQrmm5qgkKSkpSTk5uXrssSet6uThw4eHOGIA/Vm3Cebo6GilpqYqKipKCQkJGjhwoF8namho6NIHNCYmRm1tbYqNZc4gEGq0RwkOj8ejXbt2dml3UVXlG6YYGxurzMws3XPPcpmmQ4Zh19ix40IcMbrDgEwAgdorAwD6t8OHD3Ukkn0J5bKyUrW0tEiSJkyYpKuumt/RFs+uWbPmkEsBEFa6/RdpwoQJWr9+verq6vTWW29pzJgxfp0oOTlZZ8+etf7s8Xgu+AcxOTlBMTHRSk1N8uscEOt3Bfr72i2bN1nL5k3262v7+9pdSkNDg5zOQm3evFlbtmzWli1bVFdXJ0kaNmyY8vLmafny5brqqqs0d26ukpJYw54K9ffezz/bd9EBmT//bJ/fP0/BEuq1i3Ssn//62toFaq8MAOg/WlpaVFbWWZ3slMv1eVu8xMREZWfP1UMPPSrTdMhmM5WWRuECgPDWbYL55Zdf1saNG2Wz2ZSUlKQf/vCHfp0oNzdXH3/8sW666SaVlJRoxowZF3xOQ0OzYmNjaDp/BVJTk1g/P7F2/mPtfD3R9u/f16V38vbt5fJ4fMnH9PQMLVp0q1V1MGXKNEVFRUn6fP1aWvr3Gvoj1N97R043XfJ4uP9MhHrtIh3r579wX7sRI1J69PmB2isDAPqumpqjVmWyy1WorVtL1NTk20eOGzdepmnXo48+brXFi4+PD3HEANAz3SaYt23bptbWVn3/+9/X008/rdzcXM2aNavHJ1q4cKE+++wz3XHHHfJ6vVq3bp1fAQNAOGhubtbWrSVyOgutpPKxYzWSPp/YvHr1v8hudyg311Bq6pAQRxy5wrnHMQMyAQRqrwwA6BtaW1u1fXu51TfZ5XJq//59kqT4+HhlZeVo+fIHZZq+YXyjR/PkC4DI122C+ZVXXtG///u/S5JWr16tZ599Vu+8806PTxQdHa1XXnml5xECQBg4duxYl97JpaXFXXqizZ9/TUd1skMZGbPoiRYg4d7jmAGZAAK1VwYARKYTJ050GcRXUlJkDe0eNWq0TNOhBx54WIZhKisrRwkJFCIA6Hu6zYDExcVpwoQJkqTx48crOjq614MCgFBqb29XRcX2LgnlffuqJX1edfDAAw9b7S7S0kaFNuA+bMOm6ov2ON6wqTosEswMyATAXhkA+o+2tjZVVGw/rzq5UNXVeyX5hnZnZWXrnnuWyzDs1tDuzrZ4ANCXdZtgHjNmjH76058qJydHW7du1ciRI4MRFwAEzZkzp+VyOa3eyUVFLjU01EuSRowYKdN0dDzG5lBWVrYSExNDHHH/UXOR9hNfdjwUbsxII6EM9GPslQEgsn1ZO7aTJ2vldjutYXxut0uNjWclff4+4d5775dh2JWdnaMBAwaE8q8CACHTbYL59ddf1+9+9zt98sknmjZtmlauXBmMuACgV3i9Xu3du1uFhQUdgzYKVFlZIa/Xq+joaGVkzNbtty+x2l1MnDiJqoMQoscxgHDHXhkAItf57di8nnbt37ND3/3sff3Se0hHq8pUVeVrzRYTE6PZszO1bNldVnXyhAkTeZ8AAB0umWAuKytTZmamnE6npk2bpmnTpkmSCgsL9dWvfjVoAQLAlTh37pxKS4tVWFggl8vX7qK2tlaSlJIySIZhatGiW2WaDuXm2pSSMijEEeN89DgGEK7YKwNAZDt9uk7r/mOjjlaVqflwpZoP75C3pVGSVJs0WNfP/4ruuOOujurkuRo4cGCIIwaA8HXJBPPmzZuVmZmpP/3pTxd8jE0zgHB15MjhLr2Tt24tVVtbmyRpypSp+trXvmFVJ8+cmU6vzDBHj2MA4Yq9MgBEDo/Ho6qqXVbfZJerUDt2VPo+GBWtuBETNXDWNUoYm6GEsemKSx2t//yXa0IbNABEkEsmmFesWCFJGjx4sJ599tmgBQQAl6u1tVXbt5efl1Au1MGDByRJiYmJysnJ1aOPrpJpOmQYdg0fPjzEEcMf9DgGEI7YKwNA+KqvP6OiIreVUHa7XTp9uk6SNGTIENlspm677Xb9oSZFZwdPVnRCUpevH0U7NgDokW57MFdVVenMmTMaNIjHxgGE1qlTJzsmNvumNhcXu9XY6HuMbdSo0bLb8/Twwytlmg7NmZOl+Pj4EEcMAOjr2CsDQGh5vV7t2VPV8R7BV51cWbldXq9XUVFRSk/P0OLFt8ow7DJNh6ZOnWb1Ts44rwdzJ9qxAUDPdZtg3r17txwOh4YMGWI9Sv7pp5/2emAAgu/LJigH2/mPsXX+2rVrpyTfkI05c7J05533WO0uxo4dx5ANAEDQsVcGgOBqaGhQSUnRedXJTp08eVKSNGjQYNlshm6+ebEMwy6bzdCgQYMv+Vq0YwOAwOg2wfzxxx8HIw4AIfbBF+7eH61v1roPfVOTg7HBOnv2rIqL3VYy2eUqVF3d54+xGYZd+fl3yDQdysnJZcgGACAssFcGgN7j9XpVXb3X6pvsdBZq+/ZyeTy+9ywzZszUDTd8U4Zhl2HYNWPGzB7PWKEdGwBcuW4TzEVFRXr55ZdVW1urkSNH6rXXXlNGRkYwYgMQRBs2VXd5NEySmto82rCpOuAbLq/Xq4MHD3TpnbxtW5na29sl+TaK3/zmYqs6eerUaQzjAwCEJfbKABA4jY2NKi0ttlpduFyFOnHiuCRp4MBk2WymVq/+F5mmXbm5hoYMGRriiAEA0mUkmF999VWtX79e06ZN086dO/XSSy/p3XffDUZsAIKopr65R8d7oqWlRWVlpVYy2eks0NGjRyRJSUkDZbMZevLJNR2PsZlsFAEAEYO9MgD4x+v16sCB/VYi2eUqVHl5mdra2iRJU6ZM1fXXL7Sqk9PTMxQTExPiqAEAF9NtgjklJUXTpk2TJM2YMUOJiYm9HhSA4EtLSdDRiyST0/yYoHz8+PGOR9h8FcqlpcVqamqSJE2YMFFf+cpXZZoO2e0OZWTMVmxst/8UAQAQltgrA8DlaWpqUmlpSZeEck3NUUlSUlKS5s616fHHV8swTNlsdg0bNizEEQMALle3WZ1hw4bphRdeUF5enrZt2yaPx6P33ntPkrR06dJeDxBAcKycP8mvCcrt7e0qKyvT3//+iZVQ3rt3jyQpLi5OWVk5Wr78wY52F3aNGjW6N/8aAAAEFXtlAPD54sDwO2YmKLluj5VM3rq1VK2trZKkiRMn6atfvVqGYafoBAD6gG7/BZ8yZYokad++fUpOTpbdbtfx48d7PTAAwXW5E5Tr68/I7XZZyWS3243WJ1gAACAASURBVKX6+jOSpOHDh8s083TPPd+RaTqUnZ1DJRcAoE8L1F7Z4/HoBz/4gXbs2KH4+Hi9+uqrmjhxYqDDBYBe8T9bD+jl3/6v6vdvV/OhSh04XKmC+hOSpMTEROXk5Orhhx+TaTpks5kaOXJkiCMGAARStwnmxx9//KLHH3vssYAHEwpfvMt6sYQa0F98cYKy1+vV3r17uvROrqjYJq/Xq6ioKGVkzNa3vpWva66Zr9mzczRp0mRFRUWF8G8AAEBwBWqv/Ne//lUtLS167733VFJSoh/96Ed68803AxEiAARcTc1R6/2By1UoV3GRvG2+6uSYQSOVMG6WEsaka8yMLH344jLFxcWFOGIAQG/y+xmU+vr6QMYREh9U1HRpCXC0vlnrPtwlSSSZ0S919kXrrE52Ogusqc3JySkyDFPf/OYimaZDubk2DRo0WJKUmpqkurrGUIYOAEBY6ele2e12a/78+ZKknJwclZeX90ZYANBjra2t2ratzJqxUlTk0r59+yRJ8fHxys6eq5S5Nyt+bLoSxqQrNuXz3slnJZLLANAP9OsmRxs2VXfpNytJTW0ebdhUTYIZ/UJNzVEVFn6eTN66tcTqizZ58hQtWPC1jt7JDs2cmc7UZgAAeklDQ4OSk5OtP8fExKitra1LT9Lk5ATFxvJ/8RfFxEQrNTUp1GH0O++XHtb6j3bqyOkmjR6cqKcXztDi7DGX/fVct/B17NgxbdmyRVu2bNaWLZvldrt17tw5SdLYsWM1b95X9Pjjq5SXl6ecnLlKSEjQNf/2Dx0+3XTBa40enMh1DiP83EUurl3k6i/Xrl8nmGvqm3t0HIhkbW1tqqjYZiWUXa5C7d/vqzxISEjo0hfNMOwaMWJEiCMGAKD/SE5O1tmzZ60/ezyeCwZeNTSwR70YnqQKvi8+CXr4dJNe+EO5zjY2X3ahDtctPHS+R3A6C60K5X37qiV1DuzO1r33fkeGYZdh2DV27Lgu1+7cuXadO9eoR66aeNGB4Y9cNZHrHEb4uYtcXLvI1deu3YgRKRc93q8TzGkpCTp6kWRyWkpCCKIBAquu7pTcbqfVP9ntdqmx0ffGNS1tlOz2PD344MMyTYcyM7MVHx8f4ogBAOi/cnNz9fHHH+umm25SSUmJZsyYEeqQgEviSdDIVVtbK7e7UC6XUy5XoYqK3NZ7hJEj02SaDi1f/qAMw96jgd2XOzAckYWZVQAul98J5sGDBwcyjpBYOX/SRe+yrpw/KXRBAX7wer3avbuqS+/kHTsqJfkesZ09O1PLlt1ltbsYN248w/gAAOhFPd0rL1y4UJ999pnuuOMOeb1erVu3rpciA64cT4JGhvb2dlVWVviG8HX82r27SpLvPcKcOVm68867rerk8eMnXNF7hC8ODEdkY2YVgJ7oNsH83HPPdflzXFycRo0apVdffbXXggoW7rIiUjU2NqqkpKhLQvnUqVOSpMGDU2Wadn3rW/kyTYdycnK79HQEAACBE6i9cnR0tF555ZVAhgb0Gp4EDU+fP8Hoq1AuKnKpocE3cHT48OEyDLuWLbtHpmlXdvZcJSX1/Z6g8B9PKgDoiW4TzM3NzRo/frwMw1BpaanKyso0dOhQfe9739PPf/7zYMTYq7jLikhw6NDBLsnk8vIytbW1SZKmT5+hG2+82apOnjZtuqKjo0McMQAA/UNf3ysDF8OToKHn8Xi0a9dOa7aKy1WonTt3SPLdsJo1a45uv32JNV9l0qTJPMGIHuFJBQA90W2C+eTJk/rpT38qSZo/f77uv/9+rV69WnfddVevBwf0R62trSov32r1TnY6C3T48CFJ0oABA5Sba+jxx1fLNO2y2UwNHTosxBEjEtA/DQB6B3tl9Ec8CRp89fVn5Ha7rIRyUZFbp0/XSZKGDBkiw7Dr299ewhOMCBieVADQE90mmBsaGrR7925NnTpVu3fv1tmzZ3Xq1Ck1NvadCYhAKNXW1loTm53OApWUFOncuXOSpHHjxsvhyLOqk2fNmqO4uLgQR4xIQ/80AOg97JXRX/EkaO/pnK/S+R7B5SpUZWWFvF6voqKilJ4+S4sX3ybT9PVOnjp1GtXJCDieVADQE90mmF966SU988wzOnbsmEaPHq2XXnpJf/7zn/XII48EIz6gT/F4PNq5c0eXdhedgzZiY2OVlZWte+/9jvUo25gxY0McMfoC+qcBQO9hrwzgSjU0NKi42G0llN1uZ5f5KjaboUWLbpVh2JWba9OgQT0bIgr4gycVAPREtwnmrKws/fd//3eXY5mZmb0WENCXNDTUq6jIbSWTXS6nzpw5LUkaNmyYTNOhZcvukd3uUHb2XA0YMCDEEaMvon8aAPQe9soAesLr9Wrv3j1W32SXy6nt28vl8fiKAWbOTNdNNy2SYfiqk6dPn8F8FYQMTyoAuFzdJpj/8Ic/6K233lJz8+eJiL/97W89PlF9fb2eeeYZNTQ0qLW1Vc8++6zmzp3b49cBwpXX69X+/fvOq04utDaLvkfZMnTLLd+Sadpltzs0efJUHmVDUNA/DQB6T6D2ygD6psbGRpWUFJ2XUC7UiRMnJEnJySmy2Qw99dQzMk27cnMNpaYOCXHEAAD0XLcJ5l/+8pd68803NXr06Cs60a9//Wvl5eVp+fLl2rNnj55++mn9/ve/v6LXBEKpublZW7eWWIP4nM4CHTtWI0kaODBZNpvZsVl0yGYzNHhwaogjRn9F/zQA6D2B2isDCKxQDDjuLDg5vzq5vHyr2tvbJUlTp07T9dd/3WqHN3NmumJiYno1JgAAgqHbBPP48eM1ceLEKz7R8uXLFR8fL0lqb29XQgKVc4gsNTU1XYbxlZYWq6WlRZI0ceIkXX31tdYwvoyMWWwWETbonwYAvSdQe2UAgROsAcdNTU0qLS2xBvG5XIVWwUlS0kDl5tr0xBNPyTDsstlMDR06LGDnBgAgnER5vV7vl33C6tWr1dDQoIyMDOtx/jVr1nzpi27cuFFvv/12l2Pr1q1TVlaWjh8/roceekjPP/+87HZ7l885d65FCQlxam/vOowKly8mJpr189P5a9fe3q7y8nJt2bJZmzdv1pYtm7Vnzx5JUnx8vGw2m+bNm6e8vK8oLy9Po0aNCmXoIcf33ZVh/fzH2vmPtbsyrJ//wn3t4uJ6doPYn72yv44fr++V1/VHKKpDLyU1NUl1dY0hOTf815vXbdFbBRdtDzYqJUH/s8Lh9+seOnSwSzK5rGyrWltbJUmTJk2WYdit6uSMjFmKje22nisi8TMXubh2kYtrF7n62rUbMSLlose7/R/vmmuu6fHJ8vPzlZ+ff8HxHTt2aM2aNfrud797QXJZkhoamhUbG9OnFj7Y+to3brCcPl2nHTvK9PHH/yens1But1NnzzZIkkaMGCm7PU/33vuATNOurKycCyrw+/ua8313ZVg//7F2/mPtrgzr579wX7tLbZovxZ+9cqQLVnUo4K9ADDhubm5WWVmpnM7PeycfOXJYkjRgwADl5OTqkUcet4bxjRgxIiCxh0I43TACAESmSyaYy8rKlJmZGbD/KKuqqvTkk0/qjTfeUHp6ekBeE/CH1+vVnj1VVu9kl6tQlZUV8nq9io6O1qxZc7RkyR1Wu4sJEyYyjA8AAHQR6L1yJNmwqbpLX39JamrzaMOmapJSCAv+DDg+evSIlUx2Ogu0dWuJ1Q5vwoSJmjfvK1YyefbsTMXFxfVa/MHEDSMAQCBcMsG8efNmZWZm6k9/+tMFH/vqV7/a4xOtX79eLS0teu211yRJycnJevPNN3v8OkBPNTY2qrS02Oqd7HIVqra2VpI0aNBgGYapxYtv03XXXa0ZM+YoOblnlUtfRAUAAAB9X6D3ypEkENWhQG/qbsBxa2urysu3WpXJTmehDh48IElKSEhQdvZcPfjgIx0tL+xKS+u77fC4YQQACIRLJphXrFghSXr99dfV3t4ur9erkpISZWVl+XUikskIlsOHD1nJZKezQGVlW9XW1ibJN7l54cIbrOrkGTNmKjo6WlJgHtmlAgAAgP4h0HvlSOJPdSgQTF8ccDw0qlFfHXBCzo0fakPHsO6mpiZJ0pgxY2WaDj388EoZhl2ZmdnWcPr+gBtGAIBA6LYH82uvvaapU6fq8OHD2rZtm0aMGKEf/ehHwYgN6FZra6u2bSs7L6FcqEOHDkqSEhMTNXeuTStXPmEN2xg2rHcnN1MBAABA/9If98rdVYcCodTW1qbt28t12FmoccWFOuoqVNG+ahVJiouLU1ZWtu67zzdbxTDsGjNmbKhDDiluGAEAAqHbBHNZWZleeOEF3XPPPfrP//xP3XfffcGIC7iokydrrcfYnM4CFRe7de7cOUnS6NFjZLfn6dFHH5dpOjR7dmbQqw+oAAAAoH/pj3vlL1aH0hIMoVRbW2u1unC5ClVc7FZjo++pxLS0UTJNh77znYdkGHZlZWUrMTExxBGHF24YAQACodsEs8fjUXl5ucaNG6eWlhadPXs2GHEB8ng82rVrZ5d2F1VVvnYTMTExyszM0t1332e1uxg7dlyII6YCAACA/qa/7pVvzEjrcwll5miEv/b2dlVWVlhzVVyuQu3Zs1uSFBsbqzlzMnXnnfdYTy+OGzeeYd3d4IYRACAQuk0w33LLLXr55Ze1bt06/eQnP9HSpUuDERf6oYaGBhUXu88bxufU6dN1kqQhQ4bINB1auvROmaZD2dlzNXDgwBBHfCEqAAAA6F/YK/cNzNEIT6dOnZTb7ex4gtGp4mK3GhrqJUnDh4+QYdh15533ym53KCsrR0lJSSGOODL1xRtGAIDgivJ6vd5QB9Hp+PH6gAxa688iZf28Xq8OHNjfpXfytm1l8nh8m/qZM9OtymTTdGjq1Gm9Xn0QqLXrj9UvkfJ9F65YP/+xdv5j7a4M6+e/cF+7ESNSQh3CJR0/Xh/qEMJSIL6nFr1VcNGn0EalJOh/Vjiu6LVxcV+8bh6PRzt37uhIJvsqlHft2inJ9/TirFlzZBimDMMu03Ro4sRJVCeHSLj/O45L49pFLq5d5Opr1+5Se+VuK5gXLFjQ5T/u5ORk/fGPfwxcZOgXmpubVVZWavVOdjoLVFNzVJKUlDRQNpuh1auflmk6ZLOZSk0dEuKI/UcFAAAA/Qd75b6BORrBd/r0aX388f9ZCeWiIrfOnDktSRo6dKgMw678/DuspxeTk5NDHDEAhFZ/LGZD5Og2wfyXv/xFkq/itLy83Poz8GWOHTtmbRadzgKVlharudm3QZ8wYZKuumq+TNMhu92hjIzZio3t9lsRAAAg7LBX7huYo9G7PB6Pdu+usvomO50F2rGjUl6vV1FRUcrImK1bb/22DMOU3e7Q5MlTqU4GgPO8X3qYVk4Ia91m9eLj463f22w2/fSnP+3VgBB5zh+20fmrunqvJN/3T1ZWju6/f0VHuwu70tJGhThiAACAwGCv3DcwRyOwGhrqVVTkthLKLleh6up8s1UGD06VYZhaunSp5syZq9xcm1JSBoU4YgAIb+s/2tnl/yhJamrzaMOmahLMCAvdJpjXr19v3T0+duyYoqOjez0ohLczZ07L7XZZyWS329Vl2Ibdnqf77ntApulQVla2EhMTQxwxAABA72Cv3Dd0vjnn0eOe83q92rt3t5zOQrlcvoF8FRXbusxWufnmW2QYdhmGXdOmTVd0dHSf60kJAL3pyOmmix6nlRPCRbcJ5ilTpli/T09P1/z583s1IIQX34ZxjzWIz+ksUGXldutxtlmz5uj225dYw/gYtgEAAPqTQOyV6+vr9cwzz6ihoUGtra169tlnNXfu3ECGicvAHI3Lc/bsWZWUFHWpTq6trZUkpaQMks1m6MYbvyvDsMtmMzR4cGqII+5/6NMK9D2jByfq8EWSzLRyQrjoNsG8aNEivffee6qqqtKkSZOUkMA3b1927tw5lZaWWNXJLleBTpw4Icm3YTQMU4sW3SLTdPA4GwAA6PcCsVf+9a9/rby8PC1fvlx79uzR008/rd///ve9EC3QM16vV/v37+t4X+CrUN62rUzt7e2SpGnTpmvhwhtkmg4Zhl0zZsxUTExMiKPu3z6oqKFPK9AHPb1whl74QzmtnBC2uk0wv/TSSxo0aJCuuuoqFRYW6sUXX9S//uu/BiM2BMHRo0fkdBaosNCXTN66tVStra2SpClTpur6679uVSezYQQAAOgqEHvl5cuXW72c29vbKehAyJxfbNJZnXz8+DFJ0sCBycrNtemJJ57qKDYxNHTosBBHjC/asKmaPq1AH7Q4e4zONjbzdALCVrcJ5n379umdd96RJH3ta1/THXfc0etBoXe0tbVp+/by84bxFerAgf2SpMTEROXk5OqRRx6XaTpks5kaMWJEiCMGAAAIbz3dK2/cuFFvv/12l2Pr1q1TVlaWjh8/rmeeeUbPP/98r8ULdPJ6vTp06KBcrkIroVxWtlVtbW2SpMmTp+jaaxfIMOwyTYcyMmZRbBIBLtWPNRz7tNLKA+gZWjkhnHWbYG5ubta5c+c0YMAANTU1WY9DIfydOnVSbrfTSiYXFbnU2OgbpDFq1GjZ7XlaseJRmaZDc+ZkdZmCDgAAgO71dK+cn5+v/Pz8C47v2LFDa9as0Xe/+13Z7faLfm1ycoJiY0nwfVFMjG9gHL5cc3OziouLtGXLFm3evFkFBVt0+PBhSVJSUpIMw9BTT61RXt485eXl9XqxCdetd1yqT+vowYkBW+9AXLv3Sw9r3Ue71NR6XiuPj3ZpYFKCFmePCUSYuAh+7iIX1y5y9Zdr122C+d5779Utt9yi6dOnq6qqSqtWrQpGXOghj8ej3burtG1bsT75ZJOczgLt3LlDkhQTE6M5c7J05533WO0uxo4dxzA+AACAKxSIvXJVVZWefPJJvfHGG0pPT7/k5zU0hF8FYjhITU1SXV1jqMMIO0eOHO6oTvZVKJeVlaqlpUWSNGHCJOXlXSXTtMsw7Jo1a47i4uK6fH1vrynXrXc8ctXELj2YJV+f1keumhiw9Q7EtfvJ/+6wksudmlo9+sn/7tDVExkM2Vv4uYtcXLvI1deu3YgRKRc93m2CefHixbr66qt14MABjRs3TkOGDAl4cOi5zunNnw/jK9SpU6ckSampqTJNh26/falM06GcnFwNHDgwxBEDAAD0PYHYK69fv14tLS167bXXJEnJycl68803Ax0q+rCWlhaVl2+1+iY7nYU6dOigJCkhIUE5Obl66KFHZRi+hHJaGo9Y91Wdj8+He+uJSGrlAQDoXrcJ5n/84x/63e9+p3PnzlnHfvOb3/RqUOiqsz/a+b2Ty8u3Wo9gzpgxUzfdtEim6dCCBddo5Mhxio6ODnHUAAAAfV8g9sokk9FTNTU1VjLZ5SpUaWmxmpp8bRHGjRsv07Tr0Ucfl2HYaYXXD0VCn9a0lAQdvUgyOS2FIacAEIm6TTD/7Gc/03PPPafhw4cHIx7o8wqEzmSy01mgI0c+74+Wm2tY05ttNlNDhgy1vravld4DAACEM/bK6G2tra3avr3cqkx2uZzav79akhQfH6/MzGwtX/6g1e5i9Gj61yL8rZw/6aKtPFbOnxS6oAAAfus2wTx48OBLDhpBz1xqSu6JEyes6c1OZ4FKSoqsCoTx4ydo3ryvWL2TZ82ao9jYbi8bAAAAgoC9MgKt871B56+SkqIug7oNw64HHlghwzCVlZWjhAQqPhF5IqWVBwDg8lwyU/nee+9JkuLi4rR27VrNnj3bGgq3dOnS4ETXh3xQUaN1H+7SudY2tZ7Yr10llVr1/1RqwMkq1RysluRb66ysbN133wOy2x1UIAAAAIQp9soIhPb2dlVUbLdmqrhchdq7d48kKTY2VpmZWbrrrntlmr73BgzqRl8SCa08AACX55IJ5uPHj0uSsrOzJfnupKPn6uvPqKjIreff/H9Vu7dczYd3yNt8VpIUnTRYMRNna+3a+2WaDmVn52jAgAEhjhgAAADdYa8Mf5w6dVJut7MjoexUUZFbZ882SJJGjBgpw7Dr7ruX894AAABElEsmmK+77jrNnj37kl+4bdu2L/14f+T1erVvX3WXYXwVFdvk8XgkRSluxEQNzJivhLEZShibodjU0YqOitKqVVeHOnQAiHiXakMEAL2BvTK64/F4tGNHpdUKz+UqVFXVLklSTEyMZs/O1NKly2QYdpmmQxMmTKQ6GQAARKRLJpg/++wz/epXv9INN9ygmTNnatiwYaqvr1dpaan+/Oc/Kz09vd9vmpuamrR1a+l5CeUCHT9+TJKUnJwim83QmjXflWk69K9lUTrReuFyMyUXAK5cZxuizkExR+ubte5D35t4kswAegN7ZXzR6dN1crtdVkK5qMit+vozkqRhw4bJMOxauvROGYZdOTm5GjhwYIgjjgzcQAYAIPxdMsG8YsUKHT16VL/73e/0H//xHzp16pSGDx8uu92u733vexozpv/1Bq6pOSqn8/NhfFu3lqilpUWSNGnSZF177QJrGF96eoZiYmKsr20aVcOUXADoJRs2VXf591WSmto82rCpmjehAHoFe+X+zePxqKpql9U32eks0M6dO+T1ehUdHa2MjNn61rfyZRimTNOuyZOnUp3sB24gAwAQGS6ZYJakUaNG6amnnpIknTp1Sqmpqf1mY9TW1mYN3Ohsd7F/f7UkKSEhQdnZc/XQQ49aAzdGjhz5pa/HlFz0Jio70N/V1Df36DgABEJ/3iv3N51zVToTym63U3V1dZKk1NRUGYZdt912uwzDrtxcm5KTU0Iccd/ADWQAACLDlyaYJcnpdOrll19We3u7brjhBo0ZM0b5+fl+n3D37t1asmSJ/vnPfyohIXzaQ/geaXOqsNCXTC4qclkDN0aOTJPdnqcHHlgh07QrMzPbr9iZkoveQGUH4Gs3dPQiyWTaEAHobYHeKyP0vF6v9uypktNZKJfLKZerUJWV2+XxeBQVFaWZM9O1aNGtMgy7DMOuqVOnKTo6OtRh90ncQAYAIDJ0m2B+44039Nvf/larVq3SI488omXLlvm9aW5oaNCPf/xjxcfH+/X1gXL+prGzQrmyskKSFB0dbQ3c6Gx3MX78BKpRELao7ACklfMn0YYIQEgEcq+M0GhoaFBJSVGX6uTa2lpJ0qBBg5Wba9M3v7lIhmGXzWZo0KDBIY64/+AGMgAAkaHbBHN0dLT1uF9CQoLfwyi8Xq/Wrl2rNWvWaOXKlX69hr8aGxtVWlrcZRjfyZMnJUmDB6fKMEzdeuu3ZZoOzZ1rU3JyclDjA64ElR0AbYgAhE6g9soIDq/Xq337qq2+yS6XU9u3l6u9vV2SNH36DH396zdabfBmzJhJdXIIcQMZAIDI0G2CecKECVq/fr3q6ur01ltvXdbAko0bN+rtt9/ucmzMmDG66aablJ6efsmvS05OUExMtFJTky4j9Es7ePCgNm/erC1bNmvz5n+qpKREbW1tkqQZM2Zq0aLFmjdvnvLy5ik9Pb1PbRoDsX79VaSu3ejBiTp8uumix4P194nUtQsXrJ//zl+7ZfMma9m8ySGOKHLwfXdlWD//9bW182evjOA5d+5cR6FJZ0K5UCdOHJckDRyYrNxcQ08+uUam6VBurqEhQ4aGOGKcjxvIAABEhiiv1+v9sk9oa2vTxo0btXPnTk2ZMkVLly71q8XFwoULNWrUKElSSUmJsrKy9M4773T5nOPH65WamqS6usbLft3W1lZt21bWZRjfoUMHJUkDBgzQ3Lm2jlYXdtlsdg0bNqzHsUeSnq4fPhepa/fFHsySr7Lj+a9PD9rmO1LXLlywfv5j7fzH2l0Z1s9/4b52I0b0bDhboPbKl+P48fpeed1I1/k95fV6dfDggfOqkwtVXl5mFZpMmTLV6ptsmg6lp2coJiYmxNH3X+H+bwEujWsXubh2kYtrF7n62rW71F652wrm2NhYLVu27IoD+Oijj6zfL1iwQL/61a/8ep3a2toum8biYrfOnTsnSRo7dpxM066VK1fJNB2aPTtTcXFxVxw7EM6o7AAAIHQCtVdGzzU1NWnr1lJt21asTZs+k9NZoJqao5KkpKQkzZ1r02OPPdnRO9nU8OHDQxwxAABA39RtgjmUPB6Pdu7c0aV38u7dVZJ8m/nMzCzdc89yq0fa2LHjQhwxEBo3ZqSRUAYAAH3a4cOHOgpNfMP4yspK1dLSIkmaOHGSvvrVqzuqk+2aNWuOYmPD+q0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      "text/plain": [
       "<matplotlib.figure.Figure at 0x20837059be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# this produces our six partial regression plots\n",
    "\n",
    "fig = plt.figure(figsize=(20,12))\n",
    "fig = sm.graphics.plot_partregress_grid(housing_model, fig=fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
